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RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 MWR Calibration & Validation status MWR Cal/Val team: Ngan Tran, Estelle Obligis, Laurence Eymard, Michel Dedieu, Claire Marimont, Joël Dorandeu, Yannice Faugère
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RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Instrumental parameters monitoring -2.8%
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RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Instrumental parameters monitoring -3.0%
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RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Instrumental parameters monitoring -3.8%
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RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Instrumental parameters monitoring => Impact direct sur Ta (ERS2 < 0.5K) -2.2K 1.3K
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RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Instrumental parameters monitoring
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RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Impact of drift on the Brightness Temperatures Drift of -1.06K/year on ENVISAT TBs Drift of -1.90K/year on ENVISAT TBs Monitoring over continental areas
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RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Impact of drift on the Brightness Temperatures Monitoring over coldest ocean points Selecting method of the coldest points over ocean: -1.2K /year
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RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 MWR 36 GHZ Drift Analysis The sky horn counts, hot load counts and gain have decreased by about 4% since launch Different methods provide a similar estimation for the drift of the brightness temperatures Differences between ERS and ENVISAT TBs present a drift, which is between +1 and +2 K/year => A drift of 1 to 2K/year corresponds to a drift between 0.7mm and 3 mm per year depending on the brightness temperature. Action on ALS (MWR manufacturer) to perform the investigations on the too high Te and counts and gain drifts cause and provide recommendations If no MWR stabilization, a Level 1 B algorithm upgrade to correct for the drift could be envisaged in a later stage
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RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Methodology for the MWR Calibration Retrieval algorithms formulated using the 2000/2001 analyses of the ECMWF model / simulations by a radiative transfer model / regression Important change in the model in January 2002 Mean bias(K)2000/20012002difference SIMU/ERS223.8 GHz+4.91+2.75+2.16 36.5 GHz+2.16+0.30+1.86 Algorithms and calibration have to be consistent Not suitable to calibrate ENVISAT/MWR over 2002 analyses > Calibration performed on ERS2 TBs adjusted on 2000/2001 database
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RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 +4.91 K+2.16 K Comparison measurements/simulations ERS2 - 2000/2001 database
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RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 ERS2 vs ENV dh computed with adjusted sigma0_Ku High |dh| higher Low |dh| lower Bias=4.5 mm Stdev=10mm
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RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 ENV dh computed with adjusted sigma0_Ku vs ECMWF dh Bias=3.7 mm
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RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 ERS2 vs radiosounding wet tropo With Envisat we will get a better agreement with radiosounding measurements
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RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 MWR Algorithm Upgrades Level 2 Neural Network Algorithm Already implemented and validated in Reference Processor Expected operational date in IPF and CMA by mid-2003 Bias +1.46 cmBias +4.5 mm Neural products Better behavior for dry atmosphere (no more necessary to add a particular correction) Current products
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RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 MWR Algorithm Upgrades Level 2 MWR Side Lobe Algorithm –Standard algorithm : Tsl constant : Tsl_24=8.21K and Tsl_36=0.413K –Improved Side Lobe algorithm Tsl=eta_sun x Tsun + eta_sky x Tsky +eta_earth x Tearth + eta_sat x Tsat The satellite is supposed to be at the earth temperature Tsl=eta_sun x Tsun + eta_sky x Tsky +(eta_earth + eta_sat) x Tearth Tearth estimated from 1 year of ERS2/MWR measurements function of the position(1°x1° meshes)/season(4)/frequency(2)
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RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Mean Side Lobe Contribution for 23.8 GHz channel - Spring Actual constant value
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RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Difference between TB_23.8 computed with improved and operational algo for cycle 10
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RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Difference between TB_36.5 computed with improved and operational algo for cycle 10
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RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Difference between Dh computed with improved and operational algo for cycle 10
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RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Validation of the new Side Lobe algorithm Validation method –Comparison between BTs Envisat and ERS-2 over strongly contaminated zones –With the new algorithm, the difference in BT between ERS and Envisat shall be closer than the one observed in open ocean But –Can we consider the ERS-2 BT as a reference ? –Are all the Envisat efficiencies values valid ? –Can the Envisat Platform be considered as a perfect reflector ?
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RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Conclusions / Recommendations The Envisat MWR has been calibrated to get consistency with the 2000/2001 database used for the computation of the retrieval algorithms Mean bias around 5 mm between ERS2 and ENVISAT dh => we will get a better agreement with radiosounding measurements Neural algorithm ready for operational application –Linear correction factors shall be added on BTs and Sigma0 –Sigma0_Ku 1 dB higher (in MWR NN level 2 processing) to provide reliable radiometer products The impact of the new side lobe algorithm has been estimated (up to 1 cm near the costs). The validation is on the way There is a drift of the ENVISAT 36.5 GHz gain. Investigation is on-going. Not taken into account because the calibration has been performed at the end of September and is valuable for October data
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RA-2 & MWR CCVT – ESA/ESRIN – 25 to 27 March, 2003 Perspectives Validation of the Side Lobe algorithm near the costs using ERS2 TBs (-> mid 03) Comparison with other radiometers (Jason, AMSU-A - 1 common channel) Comparison with radiosounding measurements (when enough coincidences : mid 2003 ?) Check/change the calibration depending on the drift explanation (-> April/May 03) After adjustment of the ERS2 TBs as well as correction of the 23.8 GHz drift, use of the same algorithms than for Envisat => better agreement and continuity between the 2 missions
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